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ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
15 years 11 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
CIKM
2009
Springer
15 years 11 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
EUROPAR
2009
Springer
15 years 11 months ago
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Mod
Abstract. The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important featur...
Alexey L. Lastovetsky, Ravi Reddy
ICDT
2001
ACM
124views Database» more  ICDT 2001»
15 years 11 months ago
Mining for Empty Rectangles in Large Data Sets
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
Jeff Edmonds, Jarek Gryz, Dongming Liang, Ren&eacu...
IPPS
1999
IEEE
15 years 11 months ago
Application of Parallel Processors to Real-Time Sensor Array Processing
Historically, most radar sensor array processing has been implemented using dedicated and specialized processing systems. This approach was necessary because the algorithm computa...
David R. Martinez